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工程科学与技术:2020,52(4):42-48
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基于假设检验的快速事件检测算法
(1.四川大学 电气工程学院,四川 成都 610065;2.国网河南省电力公司郑州供电公司,河南 郑州 450000;3.四川电力设计咨询有限责任公司,四川 成都 610041)
Fast Event Detection Algorithm Based on Hypothesis Testing
(1.College of Electrical Eng., Sichuan Univ., Chengdu 610065, China;2.State Grid Henan Electric Power Co., Zhengzhou 450000, China;3.Sichuan Electric Power Design & Consulting Co., Ltd., Chengdu 610041, China)
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投稿时间:2019-11-06    修订日期:2020-07-09
中文摘要: 针对非侵入式负荷监测的传统方法存在实现复杂、难以实时计算、数据集需要反复训练阈值等弊端,提出了一种基于假设检验的快速事件检测算法,即复合假设检验算法。该算法先将智能电表采集到的总功率信号通过卡方拟合优度检验找出可能存在事件发生的时间点;然后,对前后两个窗口使用Z检验,只针对可疑点进行事件检验,进而由测试结果确定是否存在事件的发生,运算简单迅速。在BLUED数据集上进行了复合假设检验算法与标准卡方拟合优度检验方法的事件检测性能仿真对比实验。由实验结果可知:本文算法对不同基负载的检测结果具有稳定性与鲁棒性;本文算法在精确识别开关事件的同时,还能保证运算速度快速简洁的特点,提高了事件检测的识别精度,具有一定的应用价值和参考意义。
Abstract:The traditional methods of non-intrusive load monitoring have the disadvantages of complicated implementation, difficulty of real-time computing, and repeated training requirement of the dataset threshold. In view of this, a fast event detection algorithm based on hypothesis testing, named compound hypothesis testing algorithm, was proposed in this paper. In the algorithm, the total power signal collected by intelligent electric meter was detected through Chi-square goodness-of-fit test to find out the time point at which events may occur. Then the Z test was used for the two time windows respectively, with the event inspection being conducted for suspects only. Based on the test results, the occurrence of events can be determined accordingly. The calculation was simple and fast. On the BLUED data set, the event detection performance of compound hypothesis testing algorithm and the standard Chi-square goodness-of-fit test method were simulated and compared. The experimental results showed that, the stability and the robustness of the compound hypothesis test algorithm for different base loads were verified. It is concluded that the method proposed in the paper can not only accurately identify the switch events, but also ensure the characteristics of fast and concise operation speed, thereby improving the recognition accuracy of event detection. Therefore, the proposed method has certain application value and reference significance.
文章编号:201901079     中图分类号:TM763    文献标志码:
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作者简介:周步祥(1965-),男,教授,博士. 研究方向:电力系统电网规划、调度自动化及计算机信息处理. E-mail: hiway_scu@126.com
引用文本:
周步祥,黄河,刘治凡,魏金萧,张致强.基于假设检验的快速事件检测算法[J].工程科学与技术,2020,52(4):42-48.
ZHOU Buxiang,HUANG He,LIU Zhifan,WEI Jinxiao,ZHANG Zhiqiang.Fast Event Detection Algorithm Based on Hypothesis Testing[J].Advanced Engineering Sciences,2020,52(4):42-48.
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